To gain insight of the current computational landscape in different environments, we aim to launch a survey to assess the needs and requirements of individuals from different backgrounds by covering the following topics:
🛠 Which tools are used by researchers at different data life-cycle
i.e. Planning, Creation/collection of data, Analysis, Sharing, Preservation.
🛠 Which tools are used by researchers in aid of improving computational inclusion such as those used in capacity building and training.
🛠 Which tools are used by researchers in community building and outreach.
📎 Which computational tools do you need? What would you like to see developed?
Our vision is to create a valuable resource where we can offer:
A space for knowledge-sharing, advice, good practices, workflows, and a list of tools to facilitate computational training and research data management.
Guidelines and lessons learned from LMICs (low and middle-income countries).
Ideas for the development of accessible, adaptable technical solutions.
A community space for diverse open data and open research enthusiasts to connect and collaborate.
If you are interested in surveying the digital landscape in your institute and/or would like to know more about existing tools and resources that enhance computational inclusion in academic research, please feel free to join 👏 Google sheet👏